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  • Mobile app
  • Gen-AI
  • NLP

SightGPT – AI Visual Assistance Mobile App

A mobile app that helps visually impaired users understand their surroundings through real-time AI vision and conversation.

Overview

The camera feed is described in real time — objects detected, text read aloud, scenes summarised — and a conversational AI interface lets the user ask follow-up questions about what was analysed. Built in React Native with voice navigation throughout and persistent interaction storage.

Problem Statement

Existing accessibility tools describe a scene once and stop. A visually impaired user usually needs to ask a follow-up — what colour, how far, what does the sign underneath say — and has no way to.

Proposed Solution

Make the description conversational rather than one-shot, so the user can interrogate what the camera saw, with the entire interface operable by voice.

Key Features

  • Real-Time Image Understanding

    Generates descriptions, detects objects, and reads text from camera input.

  • Conversational AI Interface

    Lets users interact with analyzed content naturally.

  • Voice Navigation & Accessibility

    Built for visually impaired usability.

  • React Native App

    Seamless performance with persistent interaction storage.

Technologies Used

Gen-AI

  • Vision-language model
  • LLM conversation
  • OCR

Mobile

  • React Native
  • Camera API
  • Text-to-speech
  • Speech recognition

Storage

  • AsyncStorage / SQLite
  • Interaction history

Project Workflow

  1. 1

    Capture

    The camera feed is sampled for analysis.

  2. 2

    Understanding

    Objects, text and scene context are extracted.

  3. 3

    Narration

    The description is spoken back to the user.

  4. 4

    Conversation

    Follow-up questions are answered about the same scene.

What You'll Receive

  • Complete, runnable source code with folder structure
  • Project report and technical documentation
  • Ready-to-present PPT content
  • Setup and installation walkthrough
  • Line-by-line project explanation session
  • Viva question bank with answers
  • Bug fixing and troubleshooting help
  • Post-delivery support after submission

Frequently Asked Questions

How much does this project cost?

Every project is quoted individually, because the price depends on the modules you need, your technology stack, your college's format and your deadline. Send us the project name on WhatsApp and we'll share a quote the same day.

Can the project be customised to my college requirements?

Yes. Share your guide's requirements, preferred technology stack and abstract format, and we adapt the modules, dataset or UI accordingly.

Will I be able to explain this project during my viva?

That is the point of the explanation session. We walk you through the architecture, every module, the flow of data and the results, and hand over a viva question bank with answers.

What if the project does not run on my laptop?

We help you with setup end to end — dependencies, environment, database and configuration — over chat or a call until it runs on your machine.

Do I get support after submission?

Yes. Post-delivery support is included, so you can come back for fixes, doubts or demo help even after the project is delivered.

Want This Project?

Get complete source code, documentation, PPT, explanation, and support.

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